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Bad Charts

Bad Charts. Matt Arnold. Moiré. The Visual Display of Quantitative Information. Edward R. Tufte. “ Chartjunk ”. Arthur H Miller, Edie N Goldenberg, Lutz Erbring , “Type-Set Politics: Impact of Newspapers on Public Confidence,” American Political Science Review, 73 (1979), 67-84.

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Bad Charts

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  1. Bad Charts Matt Arnold

  2. Moiré

  3. The Visual Display of Quantitative Information Edward R. Tufte

  4. “Chartjunk” Arthur H Miller, Edie N Goldenberg, Lutz Erbring, “Type-Set Politics: Impact of Newspapers on Public Confidence,” American Political Science Review, 73 (1979), 67-84

  5. LIE FACTOR “Lie factors greater than 1.05 or less than 0.95 indicate substantial distortion, far beyond minor inaccuracies in plotting” Lie factor = Size of effect shown in graphic Size of effect in data

  6. Lie factor: 14.8 Line increase: 783% Actual increase: 53% New York Times, 9th August 1978, p D-2

  7. Lie Factor: 9.4 Time, 9th April 1979, p57 Volume increase: 4280% Actual increase: 454%

  8. “This may well be the worst graphic ever to find its way into print” American Education, 1970

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